Tensorflow-datasets

Latest version: v4.9.7

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1.1.0

Added

Features

- `in_memory` option to cache small dataset in RAM.
- Better sharding, shuffling and sub-split.
- It is now possible to add arbitrary metadata to `tfds.core.DatasetInfo`
which will be stored/restored with the dataset. See `tfds.core.Metadata`.
- Better proxy support, possibility to add certificate.
- `decoders` kwargs to override the default feature decoding
([guide](https://github.com/tensorflow/datasets/tree/master/docs/decode.md)).

Datasets

- [downsampled_imagenet](https://github.com/tensorflow/datasets/tree/master/docs/datasets.md#downsampled_imagenet).
- [patch_camelyon](https://github.com/tensorflow/datasets/tree/master/docs/datasets.md#patch_camelyon).
- [coco](https://github.com/tensorflow/datasets/tree/master/docs/datasets.md#coco)
2017 (with and without panoptic annotations).
- uc_merced.
- trivia_qa.
- super_glue.
- so2sat.
- snli.
- resisc45.
- pet_finder.
- mnist_corrupted.
- kitti.
- eurosat.
- definite_pronoun_resolution.
- curated_breast_imaging_ddsm.
- clevr.
- bigearthnet.

1.0.2

Added

- [Apache Beam support](https://www.tensorflow.org/datasets/beam_datasets).
- Direct GCS access for MNIST (with `tfds.load('mnist', try_gcs=True)`).
- More datasets.
- Option to turn off tqdm bar (`tfds.disable_progress_bar()`).

Fixed

- Subsplit do not depends on the number of shard anymore
(https://github.com/tensorflow/datasets/issues/292).
- Various bugs.

1.0.1

Added

- Dataset
[`celeb_a_hq`](https://github.com/tensorflow/datasets/blob/master/docs/datasets.md#celeb_a_hq).

Fixed

- Bug 52 that was putting the process in Eager mode by default.

1.0.0

Added

- 25 datasets.
- Ready to be used `tensorflow-datasets`.

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